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New DIRECT framework enables pose-controllable 3D object insertion

Researchers have developed DIRECT, a new framework for 3D-aware object insertion into images. Unlike previous methods that treat insertion as a 2D task, DIRECT allows for explicit control over the object's 3D pose. The system decomposes insertion conditions into appearance, geometry, and context guidance, enabling seamless integration while preserving visual quality and user-specified poses. The project includes a release of the code, model, and an interactive demo for community use. AI

IMPACT Enables more precise and controllable integration of 3D objects into images, advancing generative AI capabilities for visual content creation.

RANK_REASON The cluster contains an academic paper detailing a new method and its associated code/model release.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New DIRECT framework enables pose-controllable 3D object insertion

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jingbo Gong, Yikai Wang, Yushi Lan, Yuhao Wan, Ziheng Ouyang, Rui Zhao, Ming-Ming Cheng, Qibin Hou, Chen Change Loy ·

    Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

    arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image. Recent diffusion-based methods achieve high visual quality but formulate insertion as a simple 2D inpainting task, pro…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

    DIFFUSION-BASED OBJECT INSERTION FRAMEWORK WITH POSE CONTROL THROUGH DECOMPOSED GUIDANCE COMPONENTS